Data Scientist, Product

Meta • Bellevue, WA

8d

About The Position

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.

Requirements

• Requires a PhD degree in Computer Science, Engineering, Machine Learning, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field and 6 months of work experience in the job offered or in a computer-related occupation
• Requires 6 months of experience in the following
• Performing quantitative analysis including data mining on highly complex data sets
• Data querying language: SQL
• Scripting language: Python
• Machine learning techniques
• ETL (Extract, Transform, Load) processes
• Relational databases
• Large-scale data processing infrastructures using distributed systems
• Quantitative analysis techniques, including: clustering, regression, pattern recognition, or descriptive and inferential statistics

Responsibilities

• Collect, organize, interpret, and summarize statistical data to contribute to the design and development of Meta products.
• Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how users interact with both consumer and business products.
• Partner with Product and Engineering teams to solve problems and identify trends and opportunities.
• Inform, influence, support, and execute product decisions and product launches.
• May be assigned projects in various areas including, but not limited to, product operations, exploratory analysis, product influence, and data infrastructure.
• Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
• Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
• Evaluate performance of ML models in offline tests and how effective various models are in their application to meet end consumer needs.
• Conduct analysis of internal tests of yet to be released products and live consumer product experimentation.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree